I am an EECS PhD student at MIT, advised by Erik Demaine in CSAIL and Zach Lieberman at the Media Lab. My research has been recognized and generously supported by the MIT MAD Design Fellowship, the NSERC Postgraduate Scholarship, and the MIT Stata Family Presidential Fellowship.

As a researcher and artist, I develop mathematical abstractions and computational tools to support expressivity in art, design, and fabrication. My doctoral work investigates the design of reconfigurable garments, and my art practice explores creating imagery from patterns of words.

My time is devoted in equal parts to research, art, and teaching.

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art-making

In my art practice, I love blending digital design with the creation of tangible artifacts, sometimes in collaboration with machines. My process often reveals compelling artistic inquiries as well as technical challenges, and I find magic where they meet.

Please refer to my Instagram for behind-the-scenes process shots and experiments.


research

My research explores new ways to create with computation. At the moment, I am

  • designing for reuse in fashion,
  • developing shape-changing structures, and
  • crafting tools for artists and designers.
Please refer to my Google Scholar for my full publications list. While I author papers, I am excited about alternative research outcomes, such as art, tools, and educational resources.

Note that (α-β) denotes alphabetical ordering, typical in theoretical computer science, and (*) denotes equal contribution.


teaching


gratitude

I am incredibly grateful for my wonderful parents and siblings— Esther, Josh, and Sam—and the cutest of cats, Bit (Bobo) and Byte (Gege).


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"This may sound paradoxical, but the machine, which is thought to be cold and inhuman, can help to realize what is most subjective, unattainable, and profound in a human being."
— Vera Molnar